Machine Learning Jobs

• London
• Hybrid
• Senior

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London
• Hybrid
• Senior

Customer-facing role building and productionizing data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from technical ICs to executives, delivering production-grade systems, reference architectures and reusable accelerators, with around 20% travel to customer sites.

Databricks · AWS · Azure +7

• Cambridge
• Hybrid
• Mid-level

Builds and refines LLM-agentic workflows on an internal framework to help drug discovery scientists generate and triage testable therapeutic hypotheses for rare diseases. Integrates agents with a knowledge graph, proprietary methods and scientific literature, and contributes to evaluation, testing and quality standards. Works in a cross-functional team of ML engineers, bioinformaticians, scientists and clinicians, with scope to own workflows end to end.

Python · ADK · AgentSpace +1

• London
• Hybrid · 1 day in office
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth, fault-tolerant clusters, and mentors engineers while owning multi-quarter strategy.

Kubernetes · Terraform · AWS +7

• London
• Hybrid · 1 day in office
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, databases, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid
• Mid-level
• Permanent

Design, build and deploy secure, scalable cloud infrastructure for AI and ML workflows, working in a cross-functional team with data scientists and ML engineers. The role involves infrastructure-as-code with Terraform, containerised deployments on Docker and Kubernetes, CI/CD and GitOps, plus client-facing requirements gathering and technical scoping.

Azure · AWS · Terraform +4

• London
• Hybrid
• Senior
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference optimisation, plus planning wet lab testing campaigns with the bio team.

• Oxford
• Hybrid
• Permanent

Hands-on field robotics role in the Launchpad team, operating, testing and debugging autonomous vehicle systems on real industrial sites. You build your own tooling (Python/Bash, C++, ROS, Linux) and trace faults across the hardware-software boundary, with extensive travel and secondments to the UAE.

ROS · Linux · Git +4

• Cambridge
• Hybrid · 2–3 days in office
• Senior

Work on complex R&D projects within the Modelling Team, training diverse models including large self-supervised ones and deploying them into production. Involves transformer architectures, distributed training, and inference optimisation, with mentoring responsibilities and cross-department collaboration.

GQA · KV-Caching · Flash Attention +2

• London
• Hybrid · 2–3 days in office
• Senior

Join the Modelling Team to train large self-supervised and transformer-based speech models, ensuring their deployment into production. The role involves complex R&D, distributed training, inference optimisation, cross-department collaboration and mentoring, with a hybrid pattern of 2-3 office days per week.

GQA · KV-Caching · Flash Attention +2

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on risks from future ASL-3/ASL-4 models. Works collaboratively with Interpretability, Fine-Tuning and the Frontier Red Team on areas such as AI Control and alignment stress-testing, using Python throughout.

Kubernetes · Python · LLM